Bouwmans C A M, Vemer P, van Straten A, Tan S S, Hakkaart-van Roijen L
From the Institute for Medical Technology Assessment (Drs Bouwmans, Vemer, Tan, and Hakkaart-van Roijen), Erasmus University, Rotterdam; and Department of Clinical Psychology (Dr van Straten), VU University Amsterdam, the Netherlands.
J Occup Environ Med. 2014 Apr;56(4):420-4. doi: 10.1097/JOM.0000000000000112.
To assess the explanatory power of disease severity and health-related quality of life (HRQOL) on absenteeism and presenteeism in a working population suffering from depression and/or anxiety disorders.
We used data of a large, multicenter, randomized trial (n = 644). Pearson chi-squared tests, analysis of variance, and multinomial logistic regression analyses were performed to explore associations of the type of the disorder and HRQOL with different types of productivity losses. Multivariate regression analyses were performed to assess associations with the duration of absenteeism.
The type of the disorder, disease severity, and HRQOL were associated with different types of productivity losses. Health-related quality of life and age were significantly associated with the duration of absenteeism.
Our findings indicate that HRQOL may significantly explain the type of productivity loss as well as the duration of absenteeism.
评估疾病严重程度和健康相关生活质量（HRQOL）对患有抑郁症和/或焦虑症的工作人群旷工和出勤主义的解释力。
我们使用了一项大型多中心随机试验（n = 644）的数据。进行了Pearson卡方检验、方差分析和多项逻辑回归分析，以探讨疾病类型和HRQOL与不同类型生产力损失之间的关联。进行多变量回归分析以评估与旷工持续时间的关联。
疾病类型、疾病严重程度和HRQOL与不同类型的生产力损失相关。健康相关生活质量和年龄与旷工持续时间显著相关。
我们的研究结果表明，HRQOL可能显著解释生产力损失的类型以及旷工的持续时间。
